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Scottish fintech launches sector-specific large language model
Aveni has released its first iteration of FinLLM - a domain-specific large language model (LLM) built for the UK financial services sector. The Edinburgh-based firm's Aveni Labs division has been working on FinLLM for the past six months. It is designed to integrate structured and unstructured
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Aveni launches FinLLM with backing from Lloyds and Nationwide
This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. Developed over six months by the specialist team at Aveni Labs in tandem with input from its banking partners, FinLLM is designed to meet requirements for
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Scottish fintech Aveni has introduced FinLLM, a domain-specific large language model designed for the UK financial services sector, with backing from major banks like Lloyds and Nationwide.

Edinburgh-based fintech company Aveni has launched FinLLM, a specialized large language model (LLM) designed specifically for the UK financial services sector. Developed over six months by Aveni Labs, the new AI model aims to revolutionize the industry by integrating structured and unstructured data while adhering to strict ethical AI principles
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.FinLLM is built to meet the stringent requirements of the financial industry, aligning with Financial Conduct Authority (FCA) guidance and the EU AI Act. The model's development focused on ensuring compliance, safety, and performance, making it suitable for deployment in highly regulated environments
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.The development of FinLLM has been supported by significant investments from Lloyds Banking Group and Nationwide, who joined an £11 million Series A funding round in July 2023. This collaborative engagement has ensured that the model's capabilities are grounded in real-world applications and industry needs
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.Extensive benchmarking has shown that FinLLM consistently outperforms general-purpose LLMs on financial tasks while maintaining performance on standard benchmark tasks. The model's results across continual pre-training (CPT) and instruction fine-tuning (SFT) stages reflect the strength of Aveni's data strategy, training process, and evaluation framework
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Ranil Boteju, Group Chief Data and Analytics Officer at Lloyds Banking Group, expressed enthusiasm for FinLLM's potential impact: "Aveni's FinLLM will be a game changer for UK financial services. I am excited to see the transformative impact the Aveni FinLLM will have when deployed at scale across Lloyds Banking Group and the industry"
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.With its core capabilities established, FinLLM is set to move from research into real-world deployment. The next phase will focus on scaling its impact across the UK financial services sector by embedding it within Aveni's flagship products: Aveni Detect and Aveni Assist. This phase will include expanding the FinLLM model suite, integrating proprietary financial datasets, and aligning its capabilities with sector-specific compliance and performance demands
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.Joseph Twigg, CEO of Aveni, highlighted the importance of FinLLM in the context of AI sovereignty: "With data transparency, AI Safety and Ethics at its heart, FinLLM is also poised to play a key role in the adoption of AI Agents in the UK market, presenting an attractive alternative to large US-based LLMs"
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